نتایج جستجو برای: synthetic aperture radar sar images
تعداد نتایج: 451655 فیلتر نتایج به سال:
By increasing the applicability of ground-based SAR (GBSAR) systems in geoscience and remote sensing, the development and evaluation of new systems have gained attention. GBSAR systems can be utilized for monitoring areas that are hard to or cannot be seen by the airborne or spaceborne systems. Furthermore, they have better spatial and temporal resolutions and are cost-effective and easy to imp...
During the 1997 winter season, shipborne polarimetric backscatter measurements of Great Lakes (freshwater) ice types using the Jet Propulsion Laboratory C-band scatterometer, together with surface-based ice physical characterization measurements and environmental parameters, were acquired concurrently with Earth Resource Satellite 2 (ERS-2) and RADARSAT Synthetic Aperture Radar (SAR) data. This...
Normally, polarimetric SAR classification is a high-dimensional nonlinear mapping problem. In the realm of pattern recognition, sparse representation is a very efficacious and powerful approach. As classical descriptors of polarimetric SAR, covariance and coherency matrices are Hermitian semidefinite and form a Riemannian manifold. Conventional Euclidean metrics are not suitable for a Riemannia...
We present a physically-based clutter model for low frequency synthetic aperture radar that includes both distributed scatterers and large-amplitude discrete clutter. The model is used to generate a synthetic forest clutter scene comprised of two components, a background component and a heavy-tailed discrete component. Model parameters are based on characteristics of the scene, such as the rada...
| We here develop optimal criteria for detection and localization of step edges in single look complex (SLC) synthetic aperture radar (SAR) images. By working on complex data rather than intensity images, we can easily take the speckle autocorrelation into account, obtain more accurate estimates of local mean reeectivities, and thus achieve better edge detection and edge localization than with ...
Inaccuracies in the observation model of the synthetic aperture radar (SAR)due to inaccuracies of the velocity and position of the platform or atmospheric turbulence cause degradations in reconstructed images which necessitate the use of autofocus algorithms. In this paper we propose a novel signal processing algorithm for joint SAR image formation and autofocus in a synthesis dictionarybased s...
The 2 workshop on Coastal and Marine Applications of Synthetic Aperture Radar was held in Svalbard Norway on 8-12 September 2003. This conference was focused on providing an overview of the tools now available within the international community for utilizing synthetic aperture radar (SAR) systems to characterize the marine environment. Applications were specifically focused on wind, waves, sea ...
The tilt phenomenon or skew in bistatic synthetic aperture radar (SAR) images has been known. This can be observed from the SAR image of a point-like scatterer, even with symmetrical aperture. letter explains this and shows that depends on initial last positions transmitter receiver platforms. A formula to calculate angle based general geometry is provided. supports system design quality measur...
A polarimetric ground-based radar (GB-radar) system operated in the L-band has been developed. The frequency range of GB-radar is 1.215 to 1.3 GHz, which is the same as that of Japanese satellite-borne SAR, PALSAR-2 (Phased Array type L-band Synthetic Aperture Radar), and Japanese L-band air-borne radar, i.e., Pi-SAR-L2 (Polarimetric and Interferometric Airborne Synthetic Aperture Radar L2). Po...
Previously the production of focused, undistorled. synthetic-aperture radar (SAR) images in a routine way has been described. The means by which information about the scene can be extracted from the resultant images is discussed here. The importance of prior knowledge about the form of the scene for interpreting the image data is shown. Different types 01 model are introduced and their implicat...
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